NV

    Nvidia Voice Clone

    2

    Clone any voice or generate professional text-to-speech using NVIDIA's zero-shot Magpie NIM technology.

    $12

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    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more
    NV

    nvidia-voice-clone

    Example session with this skill installed

    Clone the voice from ./samples/founder_voice.wav and say: Welcome to the new platform interface.

    • Read your context and instructions
    • Compiled the nvidia-voice-clone

    Cloning voice and generating speech...
    Text: Welcome to the new platform interface.
    Voice sample: ./samples/founder_voice.wav
    VOICE: /home/user/.claude-voice-clone/voice_1715234892.wav (452 KB)
    Done! Play the output file to hear the cloned voice.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    What it does

    This skill enables high-fidelity voice cloning and text-to-speech (TTS) generation directly through your AI agent. By leveraging the NVIDIA Magpie TTS NIM, it can replicate any voice from a brief 10-30 second audio sample or generate professional narration using high-quality preset voices.

    Why use this skill

    Integrating professional-grade voice synthesis into a developer workflow usually requires complex SDKs or expensive subscriptions. This skill streamlines the process by using NVIDIA's zero-shot cloning technology, allowing your agent to produce localized audio assets, narration, or personalized voice feedback without leaving the terminal. It is significantly faster than manual audio processing and utilizes a powerful cloud infrastructure for low-latency synthesis.

    Supported tools & features

    • NVIDIA Magpie TTS Zeroshot: Clone voices from WAV/MP3 files with minimal data.
    • NVIDIA Magpie Multilingual: Support for diverse accents and languages including Spanish, French, and German.
    • Local File Management: Automatically manages audio output and storage in a dedicated local directory.
    • Bypass Setup: Works with a simple API key, removing the need for local GPU-heavy TTS models.

    Output format

    The skill produces high-fidelity WAV audio files stored locally, providing clear, natural-sounding speech that is ready for use in applications, videos, or testing.

    • Requires 10-30s audio sample for cloning.
    • Limit of 1,000 free credits on NVIDIA signup.
    • Multilingual support varies by specific model selection.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Security scan passed 7 months ago

    Requires

    Python

    Permissions

    Terminal / Shell
    Network Access
    Environment Variables
    Listed7 months ago

    What's inside

    Frequently Asked Questions

    This skill enables your AI agent to perform high-fidelity voice cloning and text-to-speech by interfacing with NVIDIA's Magpie NIM, eliminating the need for local GPU-heavy processing or complex manual audio editing.

    To use this skill, you will need a valid NVIDIA NIM API key and a local directory for the agent to save the generated WAV audio files.

    Yes, the Magpie technology used in this skill is 'zero-shot,' meaning it can replicate a specific voice using only a 10-30 second audio sample without requiring a full model retraining.

    The skill supports multiple languages, including English, Spanish, French, and German, allowing your agent to generate multilingual narration or localized voice content.

    Your purchase includes the production-ready skill code, integration instructions for your AI agent, and access to all future version updates as NVIDIA's Magpie technology evolves.

    The skill is designed to be agent-agnostic and will function with any AI framework that supports tool-calling or external API integrations via a standard terminal environment.